Fixed command for indexing/search flat vectors

castorini · Aug 8, 2024 · 3e68abc · 3e68abc
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commit 3e68abc
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diff --git a/...egressions/regressions-beir-v1.0.0-arguana.bge-base-en-v1.5.flat-int8.cached.md b/...egressions/regressions-beir-v1.0.0-arguana.bge-base-en-v1.5.flat-int8.cached.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building quantized flat indexes:
 
 ```
-bin/run.sh io.anserini.index.IndexCollection \
+bin/run.sh io.anserini.index.IndexFlatDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-arguana.bge-base-en-v1.5 \
   -generator DenseVectorDocumentGenerator \
@@ -50,7 +50,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-bin/run.sh io.anserini.search.SearchCollection \
+bin/run.sh io.anserini.search.SearchFlatDenseVectors \
   -index indexes/lucene-flat-int8.beir-v1.0.0-arguana.bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-arguana.test.bge-base-en-v1.5.jsonl.gz \
   -topicReader JsonStringVector \

diff --git a/.../regressions/regressions-beir-v1.0.0-arguana.bge-base-en-v1.5.flat-int8.onnx.md b/.../regressions/regressions-beir-v1.0.0-arguana.bge-base-en-v1.5.flat-int8.onnx.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building quantized flat indexes:
 
 ```
-bin/run.sh io.anserini.index.IndexCollection \
+bin/run.sh io.anserini.index.IndexFlatDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-arguana.bge-base-en-v1.5 \
   -generator DenseVectorDocumentGenerator \
@@ -50,7 +50,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-bin/run.sh io.anserini.search.SearchCollection \
+bin/run.sh io.anserini.search.SearchFlatDenseVectors \
   -index indexes/lucene-flat-int8.beir-v1.0.0-arguana.bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-arguana.test.tsv.gz \
   -topicReader TsvString \

diff --git a/docs/regressions/regressions-beir-v1.0.0-arguana.bge-base-en-v1.5.flat.cached.md b/docs/regressions/regressions-beir-v1.0.0-arguana.bge-base-en-v1.5.flat.cached.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building flat indexes:
 
 ```
-bin/run.sh io.anserini.index.IndexCollection \
+bin/run.sh io.anserini.index.IndexFlatDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-arguana.bge-base-en-v1.5 \
   -generator DenseVectorDocumentGenerator \
@@ -50,7 +50,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-bin/run.sh io.anserini.search.SearchCollection \
+bin/run.sh io.anserini.search.SearchFlatDenseVectors \
   -index indexes/lucene-flat.beir-v1.0.0-arguana.bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-arguana.test.bge-base-en-v1.5.jsonl.gz \
   -topicReader JsonStringVector \

diff --git a/docs/regressions/regressions-beir-v1.0.0-arguana.bge-base-en-v1.5.flat.onnx.md b/docs/regressions/regressions-beir-v1.0.0-arguana.bge-base-en-v1.5.flat.onnx.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building flat indexes:
 
 ```
-bin/run.sh io.anserini.index.IndexCollection \
+bin/run.sh io.anserini.index.IndexFlatDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-arguana.bge-base-en-v1.5 \
   -generator DenseVectorDocumentGenerator \
@@ -50,7 +50,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-bin/run.sh io.anserini.search.SearchCollection \
+bin/run.sh io.anserini.search.SearchFlatDenseVectors \
   -index indexes/lucene-flat.beir-v1.0.0-arguana.bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-arguana.test.tsv.gz \
   -topicReader TsvString \

diff --git a/...regressions/regressions-beir-v1.0.0-bioasq.bge-base-en-v1.5.flat-int8.cached.md b/...regressions/regressions-beir-v1.0.0-bioasq.bge-base-en-v1.5.flat-int8.cached.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building quantized flat indexes:
 
 ```
-bin/run.sh io.anserini.index.IndexCollection \
+bin/run.sh io.anserini.index.IndexFlatDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-bioasq.bge-base-en-v1.5 \
   -generator DenseVectorDocumentGenerator \
@@ -50,7 +50,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-bin/run.sh io.anserini.search.SearchCollection \
+bin/run.sh io.anserini.search.SearchFlatDenseVectors \
   -index indexes/lucene-flat-int8.beir-v1.0.0-bioasq.bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-bioasq.test.bge-base-en-v1.5.jsonl.gz \
   -topicReader JsonStringVector \

diff --git a/docs/regressions/regressions-beir-v1.0.0-bioasq.bge-base-en-v1.5.flat-int8.onnx.md b/docs/regressions/regressions-beir-v1.0.0-bioasq.bge-base-en-v1.5.flat-int8.onnx.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building quantized flat indexes:
 
 ```
-bin/run.sh io.anserini.index.IndexCollection \
+bin/run.sh io.anserini.index.IndexFlatDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-bioasq.bge-base-en-v1.5 \
   -generator DenseVectorDocumentGenerator \
@@ -50,7 +50,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-bin/run.sh io.anserini.search.SearchCollection \
+bin/run.sh io.anserini.search.SearchFlatDenseVectors \
   -index indexes/lucene-flat-int8.beir-v1.0.0-bioasq.bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-bioasq.test.tsv.gz \
   -topicReader TsvString \

diff --git a/docs/regressions/regressions-beir-v1.0.0-bioasq.bge-base-en-v1.5.flat.cached.md b/docs/regressions/regressions-beir-v1.0.0-bioasq.bge-base-en-v1.5.flat.cached.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building flat indexes:
 
 ```
-bin/run.sh io.anserini.index.IndexCollection \
+bin/run.sh io.anserini.index.IndexFlatDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-bioasq.bge-base-en-v1.5 \
   -generator DenseVectorDocumentGenerator \
@@ -50,7 +50,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-bin/run.sh io.anserini.search.SearchCollection \
+bin/run.sh io.anserini.search.SearchFlatDenseVectors \
   -index indexes/lucene-flat.beir-v1.0.0-bioasq.bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-bioasq.test.bge-base-en-v1.5.jsonl.gz \
   -topicReader JsonStringVector \

diff --git a/docs/regressions/regressions-beir-v1.0.0-bioasq.bge-base-en-v1.5.flat.onnx.md b/docs/regressions/regressions-beir-v1.0.0-bioasq.bge-base-en-v1.5.flat.onnx.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building flat indexes:
 
 ```
-bin/run.sh io.anserini.index.IndexCollection \
+bin/run.sh io.anserini.index.IndexFlatDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-bioasq.bge-base-en-v1.5 \
   -generator DenseVectorDocumentGenerator \
@@ -50,7 +50,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-bin/run.sh io.anserini.search.SearchCollection \
+bin/run.sh io.anserini.search.SearchFlatDenseVectors \
   -index indexes/lucene-flat.beir-v1.0.0-bioasq.bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-bioasq.test.tsv.gz \
   -topicReader TsvString \

diff --git a/...ions/regressions-beir-v1.0.0-climate-fever.bge-base-en-v1.5.flat-int8.cached.md b/...ions/regressions-beir-v1.0.0-climate-fever.bge-base-en-v1.5.flat-int8.cached.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building quantized flat indexes:
 
 ```
-bin/run.sh io.anserini.index.IndexCollection \
+bin/run.sh io.anserini.index.IndexFlatDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-climate-fever.bge-base-en-v1.5 \
   -generator DenseVectorDocumentGenerator \
@@ -50,7 +50,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-bin/run.sh io.anserini.search.SearchCollection \
+bin/run.sh io.anserini.search.SearchFlatDenseVectors \
   -index indexes/lucene-flat-int8.beir-v1.0.0-climate-fever.bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-climate-fever.test.bge-base-en-v1.5.jsonl.gz \
   -topicReader JsonStringVector \

diff --git a/...ssions/regressions-beir-v1.0.0-climate-fever.bge-base-en-v1.5.flat-int8.onnx.md b/...ssions/regressions-beir-v1.0.0-climate-fever.bge-base-en-v1.5.flat-int8.onnx.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building quantized flat indexes:
 
 ```
-bin/run.sh io.anserini.index.IndexCollection \
+bin/run.sh io.anserini.index.IndexFlatDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-climate-fever.bge-base-en-v1.5 \
   -generator DenseVectorDocumentGenerator \
@@ -50,7 +50,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-bin/run.sh io.anserini.search.SearchCollection \
+bin/run.sh io.anserini.search.SearchFlatDenseVectors \
   -index indexes/lucene-flat-int8.beir-v1.0.0-climate-fever.bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-climate-fever.test.tsv.gz \
   -topicReader TsvString \

diff --git a/...gressions/regressions-beir-v1.0.0-climate-fever.bge-base-en-v1.5.flat.cached.md b/...gressions/regressions-beir-v1.0.0-climate-fever.bge-base-en-v1.5.flat.cached.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building flat indexes:
 
 ```
-bin/run.sh io.anserini.index.IndexCollection \
+bin/run.sh io.anserini.index.IndexFlatDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-climate-fever.bge-base-en-v1.5 \
   -generator DenseVectorDocumentGenerator \
@@ -50,7 +50,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-bin/run.sh io.anserini.search.SearchCollection \
+bin/run.sh io.anserini.search.SearchFlatDenseVectors \
   -index indexes/lucene-flat.beir-v1.0.0-climate-fever.bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-climate-fever.test.bge-base-en-v1.5.jsonl.gz \
   -topicReader JsonStringVector \

diff --git a/...regressions/regressions-beir-v1.0.0-climate-fever.bge-base-en-v1.5.flat.onnx.md b/...regressions/regressions-beir-v1.0.0-climate-fever.bge-base-en-v1.5.flat.onnx.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building flat indexes:
 
 ```
-bin/run.sh io.anserini.index.IndexCollection \
+bin/run.sh io.anserini.index.IndexFlatDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-climate-fever.bge-base-en-v1.5 \
   -generator DenseVectorDocumentGenerator \
@@ -50,7 +50,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-bin/run.sh io.anserini.search.SearchCollection \
+bin/run.sh io.anserini.search.SearchFlatDenseVectors \
   -index indexes/lucene-flat.beir-v1.0.0-climate-fever.bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-climate-fever.test.tsv.gz \
   -topicReader TsvString \

diff --git a/...egressions-beir-v1.0.0-cqadupstack-android.bge-base-en-v1.5.flat-int8.cached.md b/...egressions-beir-v1.0.0-cqadupstack-android.bge-base-en-v1.5.flat-int8.cached.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building quantized flat indexes:
 
 ```
-bin/run.sh io.anserini.index.IndexCollection \
+bin/run.sh io.anserini.index.IndexFlatDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-cqadupstack-android.bge-base-en-v1.5 \
   -generator DenseVectorDocumentGenerator \
@@ -50,7 +50,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-bin/run.sh io.anserini.search.SearchCollection \
+bin/run.sh io.anserini.search.SearchFlatDenseVectors \
   -index indexes/lucene-flat-int8.beir-v1.0.0-cqadupstack-android.bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-cqadupstack-android.test.bge-base-en-v1.5.jsonl.gz \
   -topicReader JsonStringVector \

diff --git a/.../regressions-beir-v1.0.0-cqadupstack-android.bge-base-en-v1.5.flat-int8.onnx.md b/.../regressions-beir-v1.0.0-cqadupstack-android.bge-base-en-v1.5.flat-int8.onnx.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building quantized flat indexes:
 
 ```
-bin/run.sh io.anserini.index.IndexCollection \
+bin/run.sh io.anserini.index.IndexFlatDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-cqadupstack-android.bge-base-en-v1.5 \
   -generator DenseVectorDocumentGenerator \
@@ -50,7 +50,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-bin/run.sh io.anserini.search.SearchCollection \
+bin/run.sh io.anserini.search.SearchFlatDenseVectors \
   -index indexes/lucene-flat-int8.beir-v1.0.0-cqadupstack-android.bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-cqadupstack-android.test.tsv.gz \
   -topicReader TsvString \

diff --git a/...ons/regressions-beir-v1.0.0-cqadupstack-android.bge-base-en-v1.5.flat.cached.md b/...ons/regressions-beir-v1.0.0-cqadupstack-android.bge-base-en-v1.5.flat.cached.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building flat indexes:
 
 ```
-bin/run.sh io.anserini.index.IndexCollection \
+bin/run.sh io.anserini.index.IndexFlatDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-cqadupstack-android.bge-base-en-v1.5 \
   -generator DenseVectorDocumentGenerator \
@@ -50,7 +50,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-bin/run.sh io.anserini.search.SearchCollection \
+bin/run.sh io.anserini.search.SearchFlatDenseVectors \
   -index indexes/lucene-flat.beir-v1.0.0-cqadupstack-android.bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-cqadupstack-android.test.bge-base-en-v1.5.jsonl.gz \
   -topicReader JsonStringVector \

diff --git a/...sions/regressions-beir-v1.0.0-cqadupstack-android.bge-base-en-v1.5.flat.onnx.md b/...sions/regressions-beir-v1.0.0-cqadupstack-android.bge-base-en-v1.5.flat.onnx.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building flat indexes:
 
 ```
-bin/run.sh io.anserini.index.IndexCollection \
+bin/run.sh io.anserini.index.IndexFlatDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-cqadupstack-android.bge-base-en-v1.5 \
   -generator DenseVectorDocumentGenerator \
@@ -50,7 +50,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-bin/run.sh io.anserini.search.SearchCollection \
+bin/run.sh io.anserini.search.SearchFlatDenseVectors \
   -index indexes/lucene-flat.beir-v1.0.0-cqadupstack-android.bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-cqadupstack-android.test.tsv.gz \
   -topicReader TsvString \

diff --git a/...egressions-beir-v1.0.0-cqadupstack-english.bge-base-en-v1.5.flat-int8.cached.md b/...egressions-beir-v1.0.0-cqadupstack-english.bge-base-en-v1.5.flat-int8.cached.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building quantized flat indexes:
 
 ```
-bin/run.sh io.anserini.index.IndexCollection \
+bin/run.sh io.anserini.index.IndexFlatDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-cqadupstack-english.bge-base-en-v1.5 \
   -generator DenseVectorDocumentGenerator \
@@ -50,7 +50,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-bin/run.sh io.anserini.search.SearchCollection \
+bin/run.sh io.anserini.search.SearchFlatDenseVectors \
   -index indexes/lucene-flat-int8.beir-v1.0.0-cqadupstack-english.bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-cqadupstack-english.test.bge-base-en-v1.5.jsonl.gz \
   -topicReader JsonStringVector \

diff --git a/.../regressions-beir-v1.0.0-cqadupstack-english.bge-base-en-v1.5.flat-int8.onnx.md b/.../regressions-beir-v1.0.0-cqadupstack-english.bge-base-en-v1.5.flat-int8.onnx.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building quantized flat indexes:
 
 ```
-bin/run.sh io.anserini.index.IndexCollection \
+bin/run.sh io.anserini.index.IndexFlatDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-cqadupstack-english.bge-base-en-v1.5 \
   -generator DenseVectorDocumentGenerator \
@@ -50,7 +50,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-bin/run.sh io.anserini.search.SearchCollection \
+bin/run.sh io.anserini.search.SearchFlatDenseVectors \
   -index indexes/lucene-flat-int8.beir-v1.0.0-cqadupstack-english.bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-cqadupstack-english.test.tsv.gz \
   -topicReader TsvString \

diff --git a/...ons/regressions-beir-v1.0.0-cqadupstack-english.bge-base-en-v1.5.flat.cached.md b/...ons/regressions-beir-v1.0.0-cqadupstack-english.bge-base-en-v1.5.flat.cached.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building flat indexes:
 
 ```
-bin/run.sh io.anserini.index.IndexCollection \
+bin/run.sh io.anserini.index.IndexFlatDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-cqadupstack-english.bge-base-en-v1.5 \
   -generator DenseVectorDocumentGenerator \
@@ -50,7 +50,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-bin/run.sh io.anserini.search.SearchCollection \
+bin/run.sh io.anserini.search.SearchFlatDenseVectors \
   -index indexes/lucene-flat.beir-v1.0.0-cqadupstack-english.bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-cqadupstack-english.test.bge-base-en-v1.5.jsonl.gz \
   -topicReader JsonStringVector \

diff --git a/...sions/regressions-beir-v1.0.0-cqadupstack-english.bge-base-en-v1.5.flat.onnx.md b/...sions/regressions-beir-v1.0.0-cqadupstack-english.bge-base-en-v1.5.flat.onnx.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building flat indexes:
 
 ```
-bin/run.sh io.anserini.index.IndexCollection \
+bin/run.sh io.anserini.index.IndexFlatDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-cqadupstack-english.bge-base-en-v1.5 \
   -generator DenseVectorDocumentGenerator \
@@ -50,7 +50,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-bin/run.sh io.anserini.search.SearchCollection \
+bin/run.sh io.anserini.search.SearchFlatDenseVectors \
   -index indexes/lucene-flat.beir-v1.0.0-cqadupstack-english.bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-cqadupstack-english.test.tsv.gz \
   -topicReader TsvString \

diff --git a/...regressions-beir-v1.0.0-cqadupstack-gaming.bge-base-en-v1.5.flat-int8.cached.md b/...regressions-beir-v1.0.0-cqadupstack-gaming.bge-base-en-v1.5.flat-int8.cached.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building quantized flat indexes:
 
 ```
-bin/run.sh io.anserini.index.IndexCollection \
+bin/run.sh io.anserini.index.IndexFlatDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-cqadupstack-gaming.bge-base-en-v1.5 \
   -generator DenseVectorDocumentGenerator \
@@ -50,7 +50,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-bin/run.sh io.anserini.search.SearchCollection \
+bin/run.sh io.anserini.search.SearchFlatDenseVectors \
   -index indexes/lucene-flat-int8.beir-v1.0.0-cqadupstack-gaming.bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-cqadupstack-gaming.test.bge-base-en-v1.5.jsonl.gz \
   -topicReader JsonStringVector \

diff --git a/...s/regressions-beir-v1.0.0-cqadupstack-gaming.bge-base-en-v1.5.flat-int8.onnx.md b/...s/regressions-beir-v1.0.0-cqadupstack-gaming.bge-base-en-v1.5.flat-int8.onnx.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building quantized flat indexes:
 
 ```
-bin/run.sh io.anserini.index.IndexCollection \
+bin/run.sh io.anserini.index.IndexFlatDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-cqadupstack-gaming.bge-base-en-v1.5 \
   -generator DenseVectorDocumentGenerator \
@@ -50,7 +50,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-bin/run.sh io.anserini.search.SearchCollection \
+bin/run.sh io.anserini.search.SearchFlatDenseVectors \
   -index indexes/lucene-flat-int8.beir-v1.0.0-cqadupstack-gaming.bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-cqadupstack-gaming.test.tsv.gz \
   -topicReader TsvString \